At a Glance
- Tasks: Lead and support talented engineering teams while shaping technical direction.
- Company: Join Altus Group, a leader in modern AWS-native platforms.
- Benefits: Competitive pay, bonuses, flexible work, and extensive learning opportunities.
- Other info: Inclusive culture promoting diversity and continuous improvement.
- Why this job: Make a real impact by fostering innovation and quality in engineering.
- Qualifications: Strong software engineering background with leadership experience required.
The predicted salary is between 60000 - 80000 £ per year.
Compensation Range: Negotiable
Compensation Disclaimer: The salary range listed reflects the base pay for this role at Altus Group and is provided where required by local regulations. Actual offers may differ based on experience, market conditions, and other relevant factors. The range does not include additional compensation such as bonuses, equity, benefits, or other incentives.
Job Summary: Altus Group is building modern, AWS-native platforms used globally, and we’re looking for a Technical Engineering Manager who enjoys leading people, shaping technical direction, and staying close to real engineering work. This role sits at the intersection of technology, delivery and people leadership. You’ll lead a team of talented engineers, help them do their best work, and create an environment where psychological safety, continuous improvement and thoughtful adoption of AI are the norm, not just buzzwords. If you care deeply about engineering quality, healthy teams and pragmatic innovation, we’d love to hear from you.
Key Responsibilities
- Leading People and Teams
- Lead, grow and support inclusive engineering teams
- Create a high-trust, psychologically safe environment where people feel supported and accountable
- Hire and onboard new team members, help engineers grow through regular 1:1s, feedback, coaching and clear development plans; and handle performance conversations when needed, with empathy and clarity
- Maintain a clear understanding of team strengths, skills and future needs
- Support engineers and partners in working effectively using Agile and Lean practices
- Technical Leadership & Delivery
- Work closely with Product and Architecture to shape technical strategy and delivery plans
- Guide teams building and evolving AWS-native and cloud-based platforms, alongside legacy systems
- Set and uphold strong engineering standards across code quality, testing, CI/CD, observability and documentation
- Stay close to technical decisions through design reviews, architecture discussions and hands-on coaching
- Balance new feature delivery with technical debt, reliability, security and long-term platform health
- Remove blockers and risks so teams can deliver predictably and sustainably
- AI Adoption & Innovation
- Lead the practical use of AI tools to improve developer productivity and software quality
- Encourage thoughtful experimentation with LLMs and emerging AI technologies where they add real value
- Identify opportunities to embed AI capabilities into products and internal platforms
- Share learnings and outcomes so teams understand what’s working and why
- Operational Excellence
- Take ownership of delivery commitments and help teams plan work realistically
- Use a small, meaningful set of metrics to improve transparency and decision-making
- Continuously improve developer experience
- Support healthy on-call practices, retrospectives and post-incident reviews
- Promote cost awareness and efficiency across AWS environments
- Collaborate with other Engineering Managers through Communities of Practice
Key Qualifications
- Experience
- Strong background in software engineering, with several years in technical leadership and people management
- Experience building and scaling high-performing engineering teams
- Delivery experience with customer-facing web applications
- Comfortable working in Agile environments with a continuous improvement mindset
- Experience leading change across technology, process or ways of working
- Hands-on experience using or introducing AI or ML tools within engineering teams
- Technical Foundations
- Solid understanding of cloud-native architecture, AWS and distributed systems
- Proficiency in at least one modern programming language
- Strong grasp of system design and software engineering fundamentals
- Experience with Infrastructure as Code, CI/CD, observability and secure production systems
- Able to communicate technical ideas clearly to both technical and non-technical stakeholders
What Altus Group Offers
- Rewarding performance: competitive compensation, incentive and bonus plans, and a total rewards package prioritising mental, physical, and financial well-being.
- Growth and development: we invest in your professional learning. Our Altus Intelligence Academy offers over 150,000 hours of learning content.
- Flexible work model: our Activity-Based Work model provides flexibility to align your work location to the needs of the work — use the office for collaboration and remote work for focused tasks.
Inclusivity & Accessibility
Altus Group is committed to fostering an inclusive work environment where all clients and employees feel welcomed, accepted and valued. We provide an atmosphere free from barriers to promote diversity, equity, and inclusion, and encourage equal opportunities for all employees. We’re seeking candidates with diverse experiences and provide accessible candidate experiences throughout the selection process. If you need accommodation, please contact us.
Use of Artificial Intelligence
AI tools may be used to support the initial stages of screening for this role; however, all assessments and final hiring decisions are reviewed and made by an Altus Group hiring professional.
Background Checks
Please note that as part of our commitment to maintaining a safe and secure workplace, Altus Group may conduct background checks on candidates who receive a conditional offer of employment. These checks may include, but are not limited to, verification of employment history, education credentials, criminal records, credit history (where relevant), and reference checks. The scope and nature of background checks may vary depending on the role, location, and applicable laws. All background checks will be conducted in compliance with local laws and regulations, and candidates will be informed of any checks required as part of the recruitment process.
Engineering Manager (Remote - UK) in London employer: Namely
At Altus Group, we pride ourselves on being an exceptional employer that champions a culture of inclusivity, continuous improvement, and innovation. Our remote work model allows for flexibility while fostering collaboration, and we invest heavily in employee growth through our extensive learning resources. With competitive compensation packages and a commitment to mental, physical, and financial well-being, we create an environment where talented engineers can thrive and make a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land Engineering Manager (Remote - UK) in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage in online forums. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to engineering management. We recommend doing mock interviews with friends or using online platforms to get comfortable with your responses.
✨Tip Number 3
Showcase your leadership skills! During interviews, share specific examples of how you've led teams, tackled challenges, and implemented innovative solutions. This will help you stand out as a candidate who can drive results.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at Altus Group.
We think you need these skills to ace Engineering Manager (Remote - UK) in London
Some tips for your application 🫡
Show Your Passion for Engineering:When writing your application, let us see your enthusiasm for engineering! Share specific examples of how you've led teams or tackled technical challenges. We want to know what drives you and how you can contribute to our mission.
Tailor Your Application:Make sure to customise your application to align with the job description. Highlight your experience in leading high-performing teams and your familiarity with AWS-native platforms. This shows us that you understand what we're looking for!
Be Clear and Concise:Keep your application straightforward and to the point. Use clear language to describe your skills and experiences. We appreciate a well-structured application that makes it easy for us to see your qualifications at a glance.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it helps us keep everything organised on our end.
How to prepare for a job interview at Namely
✨Know Your Tech Inside Out
As a Technical Engineering Manager, you'll need to demonstrate a solid understanding of cloud-native architecture and AWS. Brush up on your knowledge of distributed systems and be ready to discuss how you've applied these concepts in previous roles.
✨Showcase Your People Skills
This role is all about leading and growing inclusive engineering teams. Prepare examples of how you've created a psychologically safe environment and supported team members through coaching and feedback. Highlight your experience with performance conversations and development plans.
✨Emphasise Agile Experience
Since the company values Agile practices, be prepared to discuss your experience in Agile environments. Share specific instances where you've led teams through change or improved processes, and how you balance new feature delivery with technical debt.
✨Bring AI into the Conversation
With a focus on AI adoption, think about how you've used AI tools to enhance developer productivity or software quality. Be ready to share your thoughts on emerging AI technologies and how they can add value to engineering teams.
